Senior Solutions Architect – Medical Devices
As a Senior Solutions Architect for Medical Devices, you will collaborate with medical device customers, developers, scientists, and academic and industry leaders across EMEA to harness AI and accelerated computing. You will serve as a trusted technical advisor, helping customers integrate AI at the edge and in the cloud, develop proof‑of‑concept demonstrations, build strategic executive relationships, and work with developers, researchers, data scientists, and IT leaders on impactful healthcare projects.
Responsibilities
Partner with the business/account team to understand customers’ goals, strategies, and technical needs and help define and deliver high‑value solutions.
Design NVIDIA’s hardware/software into next‑generation software‑defined medical devices, AI‑enabled clinical applications, and advanced healthcare product platforms.
Stay up to date on the state of the art in medical image analysis, sensor processing, clinical AI, digital health, and surgical data science, and apply the latest advancements to customer needs.
Support customers to optimize workloads using NVIDIA’s computing platform.
Document knowledge and teach others via training for partners and Solutions Architects, whitepapers, blogs, wiki articles, or whiteboard sessions.
Partner strategically with lighthouse customers and industry‑specific solution partners targeting our computing platform.
Use conferencing tools effectively; some travel may be required.
Qualifications
Strong foundational expertise: MS, PhD, or equivalent in Computer Science, Mathematics, Biomedical Engineering, Electrical Engineering, or related fields.
5+ years of work‑related experience in software development, machine learning, deep learning, or high‑performance computing.
In‑depth knowledge and practical experience with contemporary deep learning software architecture and frameworks, especially for image and video processing of medical and surgical modalities.
Experience in scientific computing and software development with C/C++, Python, or CUDA; skilled in streaming data processing, performance analysis, and optimization.
Strong time‑management and organizational skills for coordinating multiple initiatives and complex projects.
Excellent communication skills, particularly in presenting highly technical material; enjoy interacting with forward‑thinking people, lifelong learning, and staying at the forefront of the domain.
Ways to Stand Out
Domain expertise and proven hands‑on experience applying accelerated computing and AI in one or more medical device areas (e.g., imaging, digital surgery, surgical data science). Familiarity with clinical workflows is a plus.
Several years of industry experience in the medical device development life cycle, including research, technical project leadership, product development, or developing software in regulated environments. Understanding of regulatory requirements (e.g., HIPAA) and data privacy concerns specific to healthcare data.
Extensive deep learning knowledge with practical experience in frameworks and model architectures (CNNs, LLMs, VLMs), medical image and video analysis, segmentation, detection, multimodal clinical AI, and training from simulation or Digital Twins. Proficiency in deploying AI models and optimizing inference using TensorRT, ONNX Runtime, Triton, or TensorRT‑LLM is a plus.
Proven experience implementing and optimizing workloads with CUDA and Nsight Tools. Experience with high‑performance networking technologies (DPDK, DOCA, RMDA, RoCEv2) is a plus.
Published record of thought leadership in a technical area or industry segment.
We are an equal‑opportunity and inclusive employer. All qualified applicants will receive consideration for employment and are protected from discrimination, including on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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